NewsNTech
High-bandwidth memory sits at the production chokepoint for AI accelerator systems. Demand can outrun fab capacity, logistics can clear, and finished products still cannot ship if memory allocation is missing.
Nvidia is aggressively securing HBM supply from SK Hynix as part of a $500 billion AI deal, moving to lock in the component it identifies as essential to its GPUs and systems.
The memory bandwidth wall HBM is not conventional DRAM. The architecture stacks multiple memory dies vertically, connecting them through silicon, then packages the assembly directly beside the GPU using an interposer.
What results is a memory subsystem with far higher bandwidth than commodity alternatives can provide.
Keep reading